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Apurva Gandhi

2 papers indexed

arxivcs.LGcs.AIcs.SD2026-07-02

Decomposer: Learning to Decompile Symbolic Music to Programs

Yewon Kim, Apurva Gandhi, David Chung, Graham Neubig, Chris Donahue

Musical performance involves executing a set of high-level musical instructions, yet recovering those instructions from the performance is a challenging inverse problem. We present Decomposer, a post-training framework for symbolic music decompilation: the task of recovering exec…

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arxivcs.LGcs.AI2026-06-30

PPT-Eval: A Benchmark for Computer-Use Agents on PowerPoint Tasks

Apurva Gandhi, Vishwas Suryanarayanan, Raja Hasnain Anwar, Firoz Shaik, Shubhang Desai, Thong Q. Nguyen, et al.

Creating and editing slides is a rich, multimodal activity that is ubiquitous in professional and educational settings, making it an ideal testbed for real-world computer-use agents. Microsoft PowerPoint is among the most widely adopted and feature-rich environments for presentat…

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